Semantic segmentation assigns a class label to each image pixel. This dense prediction
problem requires large amounts of manually annotated data, which is often unavailable …

Panoramic video provides immersive and interactive experience by enabling humans to
control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in …

In this paper, we propose a novel deep learning based video saliency prediction method,
named DeepVS. Specifically, we establish a large-scale eye-tracking database of videos …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

This paper presents a novel spherical convolutional neural network based scheme for
saliency detection for 360 videos. Specifically, in our spherical convolution neural network …

The seminal model by Laurent Itti and Cristoph Koch demonstrated that we can compute the
entire flow of visual processing from input to resulting fixations. Despite many replications …

Robust driver attention prediction for critical situations is a challenging computer vision
problem, yet essential for autonomous driving. Because critical driving moments are so rare …

Spherical images or videos, as typical non-euclidean data, are usually stored in the form of
2D panoramas obtained through an equirectangular projection, which is neither equal area …

Visual and audio events simultaneously occur and both attract attention. However, most
existing saliency prediction works ignore the influence of audio and only consider vision …

In this paper, we propose a novel two-stream neural network for video saliency prediction.
Unlike some traditional methods based on hand-crafted feature extraction and integration …